Fraunhofer demos peak shaving with modular stationary battery storage

March 11, 2019 //By Christoph Hammerschmidt
Fraunhofer demos peak shaving with modular stationary battery storage
Electric battery storage systems compensate for load peaks without expensive intervention in production processes. As part of the SEEDs energy research project, a scalable battery system was integrated into the institute's network. Intelligent algorithms play a central role in implementation.

For industrial companies and commercial electricity consumers, peak shaving is of economic importance. However, the aim of smoothing the load profiles often requires unwanted interventions in production and costly changes to the infrastructure. However, technological advances and falling prices are now enabling the profitable use of electric battery storage systems. In this way, electrical load peaks on the consumer side can be reduced without interfering in production processes. As part of the SEEDs energy research project, Fraunhofer IISB in Erlangen is showing how stationary battery systems can be integrated into existing infrastructures. Currently, a scalable battery system with 60 kWh storage capacity reduces peak loads in the institute network by approx. 10 %. The usual operating procedures are not affected by this. Because Fraunhofer IISB is comparable to a medium-sized industrial company in terms of power requirements and infrastructure, these results can generally be applied to industrial or commercial energy systems with large electrical load peaks.

Peak loads inevitably occur in almost every load operation. These load peaks are always undesirable because they are cost-intensive and load the power grids. As a rule, attempts are made to compensate for these load peaks by temporarily switching off production systems or switching them on with a time delay. Such measures, however, mean massive interventions in production. A much more elegant solution is the integration of electrical buffer storage to reduce peak loads. This makes production-relevant interventions superfluous and the solution is also suitable for reducing peaks in the network.


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